Ogre vs Tukums: prediction and stats
1. LigaRegular Season - 14Kick-off on August 5, 2017 at 12:00 AM (UTC)Ogres stadions, Ogre
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ogre have 5 wins, 3 draws and 7 defeats; Tukums have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2017 | Preiļu BJSS(away) | 2-5 | 1. Liga |
| Jun 10, 2017 | Progress / AFA Olaine(home) | 0-3 | 1. Liga |
| Jun 3, 2017 | Smiltene(away) | 1-3 | 1. Liga |
| May 27, 2017 | Rēzekne FA(away) | 2-0 | 1. Liga |
| May 20, 2017 | BFC Daugavpils(home) | 0-6 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2017 | Rēzekne FA(away) | 4-0 | 1. Liga |
| Jul 22, 2017 | BFC Daugavpils(home) | 4-1 | 1. Liga |
| Jul 15, 2017 | Valmiera / BSS(away) | 0-0 | 1. Liga |
| Jun 17, 2017 | Jēkabpils(away) | 1-5 | 1. Liga |
| Jun 10, 2017 | Staiceles Bebri(away) | 3-1 | 1. Liga |
What does the head-to-head say?
Across the last 6 meetings: 1 Ogre win, 2 draws, 3 Tukums wins.
| Date | Score | Competition |
|---|---|---|
| Apr 15, 2017 | Tukums 1-1 Ogre | 1. Liga |
| Oct 1, 2016 | Tukums 2-1 Ogre | 1. Liga |
| May 29, 2016 | Ogre 1-2 Tukums | 1. Liga |
| Aug 22, 2015 | Tukums 0-2 Ogre | 1. Liga |
| Apr 25, 2015 | Ogre 3-3 Tukums | 1. Liga |
| Nov 1, 2014 | Tukums 7-0 Ogre | 1. Liga |
How many goals should we expect?
Ogre score 1.7 and concede 2.3 goals per match over their last 15; Tukums score 2.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ogre | 1.7 | 2.3 | 3 | 9/15 | 10/15 |
| Tukums | 2.5 | 1.3 | 5 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Ogre vs Tukums?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy